Software Developer Python

NK Securities Research

Gurugram District

On-site

INR 800,000 - 1,200,000

Full time

14 days+

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Benefits offered by this job

Competitive salary package
Catered breakfast and lunch
Annual international trips
Monthly team dinners

Job summary

NK Securities Research in Gurugram, Haryana is seeking skilled developers to enhance its Trading systems. You will work on backend systems, APIs, and automation processes, leveraging strong Python fundamentals and backend service development skills.

You will join a dynamic environment with opportunities for career growth and partake in activities such as catered meals, monthly dinners, and annual trips. We seek innovative problem-solvers with a passion for finance and technology.

Qualifications

  • Strong Python fundamentals (DSA, concurrency, performance tuning) with experience building production-grade backend services.
  • Solid understanding of APIs, distributed systems, and scalable design.
  • Experience working in Linux/Unix environments with Python or shell scripting for automation.

Responsibilities

  • Develop connectors for automation processes in Python.
  • Build and maintain backend systems for trading and analytics.
  • Design APIs and services for monitoring and data processing.
  • Automate infrastructure provisioning and workflows.

Skills

Python fundamentals
Backend services development
API design
Infrastructure automation
Shell scripting
Monitoring and observability tools

Education

Bachelor’s degree in Computer Science or related field

Tools

Django
Flask
FastAPI
Linux/Unix
Ansible
Grafana
Prometheus

Job description

NK Securities Research is a leading financial firm that leverages cutting edge technology and sophisticated algorithms to trade the financial markets. Founded in 2011, we have gained invaluable experience in the field of High Frequency Trading across different asset classes.

Key Responsibilities
  • Develop connectors for new exchanges for automation processes written in python.
  • Build and maintain backend systems and internal tools in Python to support trading, analytics, and operations with high reliability.
  • Design and develop APIs and services for trade monitoring, data processing, and system integrations.
  • Automate infrastructure provisioning, deployments, and exchange-related workflows (connectivity, order lifecycle, execution processes).
  • Identify inefficiencies in existing workflows and optimize them using Python and shell scripting to improve performance and reduce manual effort.
  • Develop monitoring, logging, and alerting systems; implement automated responses for critical failures to improve system uptime.
  • Work closely with quant, trading, and infrastructure teams to translate requirements into reliable backend solutions.
  • Maintain clear documentation and reusable code/modules to support scalability and long-term maintainability.
Preferred Qualifications
  • Bachelor’s degree in Computer Science or a related field
  • Strong Python fundamentals (DSA, concurrency, performance tuning) and experience building production-grade backend services using frameworks like Django, Flask, or FastAPI.
  • Solid understanding of APIs, distributed systems, and scalable system design, with hands‑on experience working in Linux/Unix environments and using Python or shell scripting for automation.
  • Experience with infrastructure automation and configuration management tools (e.g., Ansible), along with working knowledge of monitoring and observability tools such as Grafana and Prometheus.
  • Demonstrate ownership of systems or projects—able to deliver high-quality, reliable solutions, proactively identify and address issues, and take accountability end-to-end in fast-paced, production environments.
  • Prior exposure to financial systems or trading environments is a plus.
What We Offer
  • Competitive salary package
  • Opportunity to work in a dynamic and collaborative environment
  • Career growth and development opportunities
  • Catered breakfast and lunch
  • Annual international and domestic trips
  • Monthly team dinners
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